Python is a popular programming language for data analysis due to its versatility, ease of use, and a rich ecosystem of libraries.
Here are some key libraries and tools commonly used for data analysis in Python:
NumPy: Fundamental package for scientific computing with Python. It provides support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays.
Pandas: Library for data manipulation and analysis. It provides data structures like Series and DataFrame for efficient data manipulation with integrated indexing.
Matplotlib: A 2D plotting library that produces high-quality figures. It is commonly used for creating visualizations such as line plots, scatter plots, and histograms.